Title :
Multi-agent consensus algorithm with obstacle avoidance via optimal control approach
Author :
Jianan Wang ; Ming Xin
Author_Institution :
Dept. of Aerosp. Eng., Mississippi State Univ., Starkville, MS, USA
fDate :
June 29 2011-July 1 2011
Abstract :
Multi-agent consensus problem in an obstacle-laden environment is addressed in this paper. A novel optimal control approach is proposed for the multi-agent system to reach consensus as well as avoid obstacles with a reasonable control effort. An innovative nonquadratic penalty function is constructed to achieve obstacle avoidance capability from an inverse optimal control perspective. The asymptotic stability and optimality of the consensus algorithm are proven. In addition, the optimal control law of each agent only requires local information from the neighbors to guarantee the proposed behaviors, rather than all agents´ information. The consensus and obstacle avoidance are validated through various simulations.
Keywords :
asymptotic stability; collision avoidance; multi-robot systems; optimal control; asymptotic stability; inverse optimal control; multiagent consensus algorithm; multiagent system; nonquadratic penalty function; obstacle avoidance; obstacle-laden environment; Collision avoidance; Cost function; Optimal control; Safety; Simulation; Topology; Trajectory;
Conference_Titel :
American Control Conference (ACC), 2011
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4577-0080-4
DOI :
10.1109/ACC.2011.5990850